Invention Grant
US07752046B2 System and method for using meta-data dependent language modeling for automatic speech recognition
有权
用于自动语音识别的元数据依赖语言建模的系统和方法
- Patent Title: System and method for using meta-data dependent language modeling for automatic speech recognition
- Patent Title (中): 用于自动语音识别的元数据依赖语言建模的系统和方法
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Application No.: US10976378Application Date: 2004-10-29
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Publication No.: US07752046B2Publication Date: 2010-07-06
- Inventor: Michiel A. E. Bacchiani , Brian E. Roark
- Applicant: Michiel A. E. Bacchiani , Brian E. Roark
- Applicant Address: US NY New York
- Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee Address: US NY New York
- Main IPC: G10L15/06
- IPC: G10L15/06

Abstract:
Disclosed are systems and methods for providing a spoken dialog system using meta-data to build language models to improve speech processing. Meta-data is generally defined as data outside received speech; for example, meta-data may be a customer profile having a name, address and purchase history of a caller to a spoken dialog system. The method comprises building tree clusters from meta-data and estimating a language model using the built tree clusters. The language model may be used by various modules in the spoken dialog system, such as the automatic speech recognition module and/or the dialog management module. Building the tree clusters from the meta-data may involve generating projections from the meta-data and further may comprise computing counts as a result of unigram tree clustering and then building both unigram trees and higher-order trees from the meta-data as well as computing node distances within the built trees that are used for estimating the language model.
Public/Granted literature
- US20050096907A1 System and method for using meta-data dependent language modeling for automatic speech recognition Public/Granted day:2005-05-05
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